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Statistics of a Sharp GP2Y Low-Cost Aerosol PM Sensor Output Signals
In this work, we characterise the performance of a Sharp optical aerosol sensor model GP2Y1010AU0F. The sensor was exposed to different environments: to a clean room, to a controlled atmosphere with known aerosol size distribution and to the ambient atmosphere on a busy city street. During the expos...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7727714/ https://www.ncbi.nlm.nih.gov/pubmed/33255163 http://dx.doi.org/10.3390/s20236707 |
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author | Bučar, Klemen Malet, Jeanne Stabile, Luca Pražnikar, Jure Seeger, Stefan Žitnik, Matjaž |
author_facet | Bučar, Klemen Malet, Jeanne Stabile, Luca Pražnikar, Jure Seeger, Stefan Žitnik, Matjaž |
author_sort | Bučar, Klemen |
collection | PubMed |
description | In this work, we characterise the performance of a Sharp optical aerosol sensor model GP2Y1010AU0F. The sensor was exposed to different environments: to a clean room, to a controlled atmosphere with known aerosol size distribution and to the ambient atmosphere on a busy city street. During the exposure, the output waveforms of the sensor pulses were digitised, saved and a following offline analysis enabled us to study the behaviour of the sensor pulse-by-pulse. A linear response of the sensor on number concentration of the monosized dispersed PSL particles was shown together with an almost linear dependence on particle diameters in the 0.4 to 4 micrometer range. The gathered data about the sensor were used to predict its response to an ambient atmosphere, which was observed simultaneously with a calibrated optical particle counter. |
format | Online Article Text |
id | pubmed-7727714 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-77277142020-12-11 Statistics of a Sharp GP2Y Low-Cost Aerosol PM Sensor Output Signals Bučar, Klemen Malet, Jeanne Stabile, Luca Pražnikar, Jure Seeger, Stefan Žitnik, Matjaž Sensors (Basel) Letter In this work, we characterise the performance of a Sharp optical aerosol sensor model GP2Y1010AU0F. The sensor was exposed to different environments: to a clean room, to a controlled atmosphere with known aerosol size distribution and to the ambient atmosphere on a busy city street. During the exposure, the output waveforms of the sensor pulses were digitised, saved and a following offline analysis enabled us to study the behaviour of the sensor pulse-by-pulse. A linear response of the sensor on number concentration of the monosized dispersed PSL particles was shown together with an almost linear dependence on particle diameters in the 0.4 to 4 micrometer range. The gathered data about the sensor were used to predict its response to an ambient atmosphere, which was observed simultaneously with a calibrated optical particle counter. MDPI 2020-11-24 /pmc/articles/PMC7727714/ /pubmed/33255163 http://dx.doi.org/10.3390/s20236707 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Letter Bučar, Klemen Malet, Jeanne Stabile, Luca Pražnikar, Jure Seeger, Stefan Žitnik, Matjaž Statistics of a Sharp GP2Y Low-Cost Aerosol PM Sensor Output Signals |
title | Statistics of a Sharp GP2Y Low-Cost Aerosol PM Sensor Output Signals |
title_full | Statistics of a Sharp GP2Y Low-Cost Aerosol PM Sensor Output Signals |
title_fullStr | Statistics of a Sharp GP2Y Low-Cost Aerosol PM Sensor Output Signals |
title_full_unstemmed | Statistics of a Sharp GP2Y Low-Cost Aerosol PM Sensor Output Signals |
title_short | Statistics of a Sharp GP2Y Low-Cost Aerosol PM Sensor Output Signals |
title_sort | statistics of a sharp gp2y low-cost aerosol pm sensor output signals |
topic | Letter |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7727714/ https://www.ncbi.nlm.nih.gov/pubmed/33255163 http://dx.doi.org/10.3390/s20236707 |
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